Technical University of Munich - Digitalisation in Space Research
- Offered byCoursera
Digitalisation in Space Research at Coursera Overview
Duration | 13 hours |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course  |
Credential | Certificate |
Digitalisation in Space Research at Coursera Highlights
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Course 2 of 3 in the Digitalisation in Aeronautics and Space Specialization
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Intermediate Level
- Approx. 13 hours to complete
- English Subtitles: French, Portuguese (European), Russian, English, Spanish
Digitalisation in Space Research at Coursera Course details
- This course provides an overview of the most important digital applications in the field of aerospace research. The course instructors discuss how digitalisation is impacting and changing both satellite-based and manned spaceflight research. One unit is specifically devoted to exploring the use of artificial intelligence in the evaluation of satellite data.
Digitalisation in Space Research at Coursera Curriculum
Digital Transformation in the Space Industry
Digital Transformation
Which impact has digitalisation on your life?
What are the risks of digitalisation for aerospace research?
Introductory words
Introduction
Space Based Products & Services
Development, Production & Operations
Risks & Threats
Space Perspective on Tech Trends 2019
Introduction
Risks & Threats
Global Navigation Satellite Systems (GNSS) for efficient and flexible air navigation
Civil Aviation Market
Classical and Performance Based Navigation
Satellite Navigation (GNSS): A Solution for everything?
Relying on GNSS?
Current Performance and Way forward
Advanced Receiver autonomous Integrity monitoring for Aircraft Guidance using GNSS
European ATM Master Plan 2020
Civil aviation market
Classical and Performance-Based Navigation
Current Performance and Way forward
Digitisation in Earth Observation
Introduction of the Course Lecturers
Learning Objectives
Introduction
Data Sources
Data Archives & Access and Processing Services
Analysis - AI4EO
Deep Learning in Remote Sensing
Introduction
Data Archives & Access and Processing Services
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